InData Labs vs HYS Enterprise: full comparison for 2026
Quick verdict
InData Labs (4.2/5) edges ahead of HYS Enterprise (4.0/5) overall. InData Labs is the better choice for EU clients needing GDPR-aligned data science handling. HYS Enterprise is the stronger option for EU clients wanting both headquarters and delivery fully inside the EU. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs HYS Enterprise: head-to-head summary
| Criterion | InData Labs | HYS Enterprise |
|---|---|---|
| Founded | 2014 | 2007 |
| HQ | Limassol, Cyprus | Amsterdam, Netherlands |
| Team size | 51-200 | 213 |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients | Both legal HQ (Netherlands) and delivery hub (Poland) sit fully inside EU jurisdiction |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, scikit-learn, TensorFlow | Python, AWS, Azure |
| Industries served | Retail & e-commerce, Gaming, Fintech, Healthcare | Fintech, Healthcare, Retail & e-commerce |
InData Labs vs HYS Enterprise: overview
InData Labs
InData Labs was founded in 2014 by gaming-industry veteran Marat Karpeko and is headquartered in Cyprus, an EU member state, with additional offices reported in Lithuania and the US. Staff estimates swing between roughly 65 and 200 across sources. Its practice centers on data science, predictive analytics, natural language processing, and computer vision, with a genuinely EU legal base that simplifies GDPR-aligned data handling for European clients compared to firms operating entirely outside EU jurisdiction.
HYS Enterprise
HYS Enterprise was founded in 2007 and is headquartered in Amsterdam, Netherlands, an EU member state, with its main development hub staffed by engineers based in Poland, also within the EU. As of mid-2026 the company reported 213 employees. Both its legal headquarters and primary delivery hub sit inside EU jurisdiction, a combination fewer vendors on this list can claim, with AI delivered as an extension of its general consulting and engineering practice.
Services and capabilities: InData Labs vs HYS Enterprise
| Capability | InData Labs | HYS Enterprise |
|---|---|---|
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: InData Labs vs HYS Enterprise
| Framework / platform | InData Labs | HYS Enterprise |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| OpenAI API | N/A | N/A |
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: InData Labs vs HYS Enterprise
| Criterion | InData Labs | HYS Enterprise |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: InData Labs vs HYS Enterprise
| Dimension | InData Labs | HYS Enterprise |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & e-commerce, Gaming, Fintech | Fintech, Healthcare, Retail & e-commerce |
| Best use cases | Building predictive models from an existing data warehouse with EU data residency requirements., Adding computer vision to a European product that already produces image or video data. | Getting fully EU-based contracting and delivery in one vendor relationship., Running a general IT consulting engagement that includes an AI component within EU jurisdiction. |
| Typical project type | Fixed project | Fixed project |
InData Labs vs HYS Enterprise: pros and cons
| InData Labs | |
|---|---|
| + | Cyprus headquarters (EU member state) simplifies GDPR-aligned data handling for European clients. |
| + | Founder's gaming background brings real-time data processing experience to computer vision work. |
| + | Predictive analytics and NLP expertise predates the current generative AI wave. |
| + | More than a decade of track record in a narrower, more defensible specialty. |
| - | Reported team size varies close to 3x across public sources |
| - | Less generative AI and LLM-specific public case work than firms built specifically around that |
| HYS Enterprise | |
|---|---|
| + | Amsterdam headquarters and Poland delivery hub both sit fully inside the EU. |
| + | Nearly two decades of IT consulting experience. |
| + | Consistent, precisely reported headcount (213) rather than a wide estimated range. |
| + | Simplifies EU-based contracting and data residency conversations for clients wary of offshore layers. |
| - | AI is delivered as an extension of general IT consulting rather than a dedicated practice |
| - | Smaller team than most enterprise-scale firms on this list, limiting very large program capacity |
Who should choose InData Labs?
A typical fit: building predictive models from an existing data warehouse with EU data residency requirements.
EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Gaming, Fintech, Healthcare.
Who should choose HYS Enterprise?
A typical fit: getting fully EU-based contracting and delivery in one vendor relationship.
Both legal HQ (Netherlands) and delivery hub (Poland) sit fully inside EU jurisdiction. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce.
Decision matrix: InData Labs vs HYS Enterprise
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | InData Labs |
| You need a large dedicated team for an ongoing programme | InData Labs |
| Your budget is at the lower end | Compare: InData Labs (Not disclosed) vs HYS Enterprise (Not disclosed) |
| You need specialist depth in a specific vertical | InData Labs |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | HYS Enterprise |
Use case fit: InData Labs vs HYS Enterprise
| Use case | InData Labs fit | HYS Enterprise fit | Winner |
|---|---|---|---|
| Building predictive models from an existing data warehouse with EU data residency requirements. | Strong | Limited | InData Labs |
| Adding computer vision to a European product that already produces image or video data. | Strong | Limited | InData Labs |
| Getting fully EU-based contracting and delivery in one vendor relationship. | Limited | Strong | HYS Enterprise |
| Running a general IT consulting engagement that includes an AI component within EU jurisdiction. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: InData Labs vs HYS Enterprise
InData Labs (4.2/5) is the stronger overall choice for most AI Development projects. EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients.
HYS Enterprise (4.0/5) is worth a look if you need running a general IT consulting engagement that includes an AI component within EU jurisdiction. If your situation matches that, HYS Enterprise is a competitive option.
Related comparisons
InData Labs vs HYS Enterprise FAQ
Is InData Labs better than HYS Enterprise?
InData Labs (4.2/5) scores higher overall, but "better" depends on your use case. InData Labs's strongest advantage: cyprus headquarters (EU member state) simplifies GDPR-aligned data handling for European clients. HYS Enterprise's strongest advantage: amsterdam headquarters and Poland delivery hub both sit fully inside the EU.
How do InData Labs and HYS Enterprise differ in pricing?
InData Labs uses fixed project or dedicated team pricing. HYS Enterprise uses fixed project or dedicated team pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: InData Labs or HYS Enterprise?
InData Labs is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between InData Labs and HYS Enterprise?
InData Labs's primary differentiator is: EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients. HYS Enterprise's primary differentiator is: both legal HQ (Netherlands) and delivery hub (Poland) sit fully inside EU jurisdiction. They also differ in team size (51-200 vs 213), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, Gaming vs Fintech, Healthcare).
Verify all details directly with each company before making a decision.